What Can Artificial Intelligence Contribute to Network Operations?
30/04/2025
The rapid growth of artificial intelligence (AI) and machine learning (ML) has brought both excitement and uncertainty. The media explosion surrounding these technologies has captured the public’s attention—often accompanied by fear, misunderstandings, and oversimplified explanations.
In response to this reality, LACNIC will offer a dedicated session at LACNIC 43, focused on what matters most: the practical application of AI in network management and operations.
This session—the first of its kind at a LACNIC event—will be titled Artificial Intelligence and Machine Learning in Networks and will be divided into two parts.
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One part of the session will dive into machine learning, led by Christian Rothenberg, a researcher at the University of Campinas. Participants will learn how techniques originally developed for tasks such as price prediction and image classification are now being applied in network environments.
Additionally, Carlos Martínez, LACNIC’s Chief Technical Officer, will address generative artificial intelligence—the technology that has captured the world’s attention with models capable of creating text, images, or code from a simple prompt. The focus will be on the practical applications of these tools to solve real challenges in network operations. Martínez will present ideas and examples showing their potential in areas such as configuration generation, event analysis, and automated documentation.
This session is the result not only of the widespread interest these topics generate, but also of an active listening process with the technical community. Through surveys, discussions with industry leaders, and engagement at various events, we recognized a strong need for more in-depth and practical understanding of how AI and ML apply to networking. This session represents an initial step in that direction.